Estimation-of-the-number-of-needed-GPUs.md

@@ -5,18 +5,18 @@ W-SLDA Toolkit provides a script that can be used to estimate the number of GPUs
 NX = 128
 NY = 128
 NZ = 16
-codedim=2 # dimensonality of code
-nwf=70141 # provide here number if you know it, otherwise the code will use simple estimate
+codedim=2 # dimensionality of code
+nwf=70141 # provide here the number if you know it, otherwise the code will use simple estimate
 mem_per_gpu = 16.0 # in GB
 min_mem_utilization = 2.0 # in GB
 ```
-Note that the number of wave-functions to be evolved is typically printed by `st-wslda` code when writing them to files. Optionally you can leave `nwf=None`, and then the script will use an estimate for this number.  
+Note that the number of wave-functions to be evolved is typically printed by `st-wslda` code when writing them to files. Optionally, you can leave `nwf=None`, and then the script will use an estimate for this number.  
 Running the script:
 ```bash
 [gabrielw@wutdell tools]$ python td-memory.py 
 MINIMAL NUMBER OF GPUs=24
 ```
-and plot like this will show up:  
+and a plot like this will show up:  
 ![td-memory](uploads/d8896d2246152182974245985c6d819b/td-memory.png)
 
-To obtain a good performance of the code, it is recommended that the memory utilization of each GPU card is about 50% or more of its capacity. In the given example, it is recommended to run the code with the number of GPUs less than 50. 
+To achieve good code performance, it is recommended that each GPU card use about 50% or more of its capacity. In the given example, it is recommended to run the code with fewer than 50 GPUs. 
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